Combining internal- and external-training-load measures in professional rugby league

Int J Sports Physiol Perform. 2014 Nov;9(6):905-12. doi: 10.1123/ijspp.2013-0444. Epub 2014 Feb 28.

Abstract

Purpose: This study investigated the effect of training mode on the relationships between measures of training load in professional rugby league players.

Methods: Five measures of training load (internal: individualized training impulse, session rating of perceived exertion; external-body load, high-speed distance, total impacts) were collected from 17 professional male rugby league players over the course of two 12-wk preseason periods. Training was categorized by mode (small-sided games, conditioning, skills, speed, strongman, and wrestle) and subsequently subjected to a principal-component analysis. Extraction criteria were set at an eigenvalue of greater than 1. Modes that extracted more than 1 principal component were subjected to a varimax rotation.

Results: Small-sided games and conditioning extracted 1 principal component, explaining 68% and 52% of the variance, respectively. Skills, wrestle, strongman, and speed extracted 2 principal components each explaining 68%, 71%, 72%, and 67% of the variance, respectively.

Conclusions: In certain training modes the inclusion of both internal and external training-load measures explained a greater proportion of the variance than any 1 individual measure. This would suggest that in training modes where 2 principal components were identified, the use of only a single internal or external training-load measure could potentially lead to an underestimation of the training dose. Consequently, a combination of internal- and external-load measures is required during certain training modes.

Publication types

  • Observational Study

MeSH terms

  • Accelerometry / methods
  • Adult
  • Football / physiology*
  • Football / psychology
  • Geographic Information Systems
  • Heart Rate
  • Humans
  • Male
  • Perception
  • Physical Education and Training / methods*
  • Physical Exertion
  • Principal Component Analysis
  • Young Adult